Amazon is hiring | Position: Data Scientist Intern | Location: Bengaluru, India

 

Data Scientist Intern

Job ID: 1008217 | ADCI - Karnataka

 

DESCRIPTION

Amazon's looking for Data Scientist to optimize one of the most complex logistics systems in the world. Academic and/or practical background in Computer Science, Engineering, Operations Research, or Process Control are particularly relevant for this position. Experience in the integration of model-based engineering tools and/or multidisciplinary analysis & optimization is also a plus.

Major Responsibilities:

· Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making

· Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction

· Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations

· Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity

· Analyze and solve business problems at their root

 

BASIC QUALIFICATIONS

· Pursuing Masters or equivalent advanced degree from a top tier Technology school

· Record of delivering large analytical solutions with business impact

· Experience on R/SAS/Matlab and SQL

· Excellent Microsoft Office skills, including a strong working knowledge of Excel

· Problem solving ability and passion for big data

· Excellent communication and data presentation skills

· Fluent written and spoken English

 

PREFERRED QUALIFICATIONS

Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.

• Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.

• Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch.

• Academic Experience with Big Data platforms like Apache Spark and Hadoop.

• Familiarity with data processing with Python, R & SQL.

• Familiarity with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.

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